SOTAVerified

Object Localization

Object Localization is the task of locating an instance of a particular object category in an image, typically by specifying a tightly cropped bounding box centered on the instance. An object proposal specifies a candidate bounding box, and an object proposal is said to be a correct localization if it sufficiently overlaps a human-labeled “ground-truth” bounding box for the given object. In the literature, the “Object Localization” task is to locate one instance of an object category, whereas “object detection” focuses on locating all instances of a category in a given image.

Source: Fast On-Line Kernel Density Estimation for Active Object Localization

Papers

Showing 451500 of 617 papers

TitleStatusHype
Hand-Priming in Object Localization for Assistive Egocentric Vision0
Understanding the effects of artifacts on automated polyp detection and incorporating that knowledge via learning without forgettingCode0
A Markerless Deep Learning-based 6 Degrees of Freedom PoseEstimation for with Mobile Robots using RGB Data0
Extending Class Activation Mapping Using Gaussian Receptive Field0
ScanRefer: 3D Object Localization in RGB-D Scans using Natural LanguageCode0
Convolutional STN for Weakly Supervised Object LocalizationCode0
IENet: Interacting Embranchment One Stage Anchor Free Detector for Orientation Aerial Object Detection0
Attributional Robustness Training using Input-Gradient Spatial AlignmentCode0
Sub-frame Appearance and 6D Pose Estimation of Fast Moving ObjectsCode0
Deep Mixture Density Network for Probabilistic Object Detection0
Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation0
Self-supervised Moving Vehicle Tracking with Stereo Sound0
Towards Best Practice in Explaining Neural Network Decisions with LRPCode0
Deep Contextual Attention for Human-Object Interaction Detection0
Combinational Class Activation Maps for Weakly Supervised Object LocalizationCode0
Explaining image classifiers by removing input features using generative modelsCode0
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization0
Adaptively Denoising Proposal Collection forWeakly Supervised Object Localization0
LIT: Light-field Inference of Transparency for Refractive Object Localization0
Information Entropy Based Feature Pooling for Convolutional Neural Networks0
DANet: Divergent Activation for Weakly Supervised Object LocalizationCode0
Embodied Amodal Recognition: Learning to Move to Perceive Objects0
Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization0
Deep learning architectures for automated image segmentation0
NEMO: Future Object Localization Using Noisy Ego Priors0
CELNet: Evidence Localization for Pathology Images using Weakly Supervised Learning0
Dual-attention Focused Module for Weakly Supervised Object Localization0
Weakly Supervised Localization Using Background Images0
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A SurveyCode0
Attention-based Dropout Layer for Weakly Supervised Object LocalizationCode0
Smooth Grad-CAM++: An Enhanced Inference Level Visualization Technique for Deep Convolutional Neural Network ModelsCode0
"Sliced" Subwindow Search: a Sublinear-complexity Solution to the Maximum Rectangle Problem0
SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping ImagesCode0
Learning Instance Activation Maps for Weakly Supervised Instance Segmentation0
Enabling Computer Vision Driven Assistive Devices for the Visually Impaired via Micro-architecture Design Exploration0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Parity Models: A General Framework for Coding-Based Resilience in ML Inference0
FAST OBJECT LOCALIZATION VIA SENSITIVITY ANALYSIS0
Tactile Mapping and Localization from High-Resolution Tactile Imprints0
Compression and Localization in Reinforcement Learning for ATARI Games0
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionCode0
Embodied Visual Recognition0
Detecting Lesion Bounding Ellipses With Gaussian Proposal NetworksCode0
Min-Entropy Latent Model for Weakly Supervised Object DetectionCode0
Photorealistic Image Synthesis for Object Instance Detection0
A Smoother Way to Train Structured Prediction ModelsCode0
SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping ImagesCode0
Learning from Web Data: the Benefit of Unsupervised Object Localization0
Grid R-CNNCode0
Generalized Coarse-to-Fine Visual Recognition with Progressive Training0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OSMaNRGSPL32.99Unverified
2SUSARGSPL27.31Unverified
3ShanksRGSPL22.85Unverified
4CVPR22RGSPL22.06Unverified
5damm1RGSPL15.96Unverified
61637RGSPL14.03Unverified
7init. PREVALENTRGSPL13.51Unverified
8AirbertRGSPL13.28Unverified
9init. OSCARRGSPL10Unverified
10SIARGSPL9.2Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP89.35Unverified
2VoxelNetAP89.35Unverified
3Frustum PointNetsAP88.7Unverified
4Frustum PointNetsAP81.2Unverified
5VoxelNetAP77.47Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP48.3Unverified
2Frustum PointNetsAP47.2Unverified
3Frustum PointNetsAP40.23Unverified
4VoxelNetAP38.11Unverified
5VoxelNetAP31.51Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP52.23Unverified
2Frustum PointNetsAP50.22Unverified
3Frustum PointNetsAP42.15Unverified
4VoxelNetAP40.74Unverified
5VoxelNetAP33.69Unverified
#ModelMetricClaimedVerifiedStatus
1VoxelNetAP77.39Unverified
2Frustum PointNetsAP75.33Unverified
3Frustum PointNetsAP62.19Unverified
4VoxelNetAP57.73Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP75.38Unverified
2Frustum PointNetsAP71.96Unverified
3VoxelNetAP66.7Unverified
4VoxelNetAP61.22Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP61.96Unverified
2Frustum PointNetsAP56.77Unverified
3VoxelNetAP54.76Unverified
4VoxelNetAP48.36Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP58.09Unverified
2Frustum PointNetsAP51.21Unverified
3VoxelNetAP46.13Unverified
4VoxelNetAP39.48Unverified
#ModelMetricClaimedVerifiedStatus
1Unified-IOXLLocalization (ablation)67Unverified
2GPV-2Localization (ablation)53.6Unverified
3Mask R-CNNLocalization (ablation)44.7Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP54.68Unverified
2VoxelNeAP50.55Unverified
3Frustum PointNetsAP50.39Unverified
#ModelMetricClaimedVerifiedStatus
1GPT4-Vision 4-shot+CoTAccuracy49.7Unverified
2Gemini-Pro 4-shot+CoTAccuracy33.9Unverified
#ModelMetricClaimedVerifiedStatus
1Frustum PointNetsAP84Unverified
2VoxelNetAP79.26Unverified
#ModelMetricClaimedVerifiedStatus
1Frustrum-PointPillarsAP60.98Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossPrecision88.1Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc41.2Unverified
#ModelMetricClaimedVerifiedStatus
1oursCorLoc47.45Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossF-Score88.6Unverified
#ModelMetricClaimedVerifiedStatus
1Hausdorff LossRecall89.2Unverified